DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 32B Comparison

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Sun Mar 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 1.2x cheaper than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.2x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than DeepSeek R1 Distill Qwen 32B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 22 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
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Model Size

Parameter count comparison

37.8B diff

DeepSeek R1 Distill Llama 70B has 37.8B more parameters than DeepSeek R1 Distill Qwen 32B, making it 115.2% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
32.8B
DeepSeek R1 Distill Qwen 32B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Sun Mar 22 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Llama 70B

MIT

Open weights

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-01-20.

They likely represent similar generations of model development.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. DeepSeek R1 Distill Qwen 32B is available from DeepInfra. The availability of providers can affect quality of the model and reliability.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Higher AIME 2024 score (86.7% vs 83.3%)
Higher GPQA score (65.2% vs 62.1%)
Higher LiveCodeBench score (57.5% vs 57.2%)
Higher MATH-500 score (94.5% vs 94.3%)
Less expensive output tokens

Detailed Comparison